A Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience
Data privacy is a fundamental ethical goal. We must aim for innovating without exploiting. In order to provide formal privacy guarantees, differential privacy has been the central method of implementing database privacy. However, there are many barriers to widespread adoption. General methods lack a...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/144558 |
| _version_ | 1826213288537489408 |
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| author | Xu, Helen J. |
| author2 | Madden, Samuel |
| author_facet | Madden, Samuel Xu, Helen J. |
| author_sort | Xu, Helen J. |
| collection | MIT |
| description | Data privacy is a fundamental ethical goal. We must aim for innovating without exploiting. In order to provide formal privacy guarantees, differential privacy has been the central method of implementing database privacy. However, there are many barriers to widespread adoption. General methods lack accuracy and more innovative methods lack applicability beyond a specific kind of data or query. This project aims to create an effective differentially private system that provides an identical user experience to using raw data and redefines utility in database privacy to focus on the user experience. |
| first_indexed | 2024-09-23T15:46:42Z |
| format | Thesis |
| id | mit-1721.1/144558 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:46:42Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1445582022-08-30T03:08:06Z A Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience Xu, Helen J. Madden, Samuel Cao, Lei Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Data privacy is a fundamental ethical goal. We must aim for innovating without exploiting. In order to provide formal privacy guarantees, differential privacy has been the central method of implementing database privacy. However, there are many barriers to widespread adoption. General methods lack accuracy and more innovative methods lack applicability beyond a specific kind of data or query. This project aims to create an effective differentially private system that provides an identical user experience to using raw data and redefines utility in database privacy to focus on the user experience. M.Eng. 2022-08-29T15:55:46Z 2022-08-29T15:55:46Z 2022-05 2022-05-27T16:18:35.269Z Thesis https://hdl.handle.net/1721.1/144558 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Xu, Helen J. A Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience |
| title | A Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience |
| title_full | A Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience |
| title_fullStr | A Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience |
| title_full_unstemmed | A Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience |
| title_short | A Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience |
| title_sort | universally applicable differential privacy system redefining utility in database privacy to prioritize user experience |
| url | https://hdl.handle.net/1721.1/144558 |
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